Implements pre-training, supervised fine-tuning (SFT), and reinforcement learning from human feedback (RLHF), to train and fine-tune the LLaMA2 model to follow human instructions, similar to InstructGPT or ChatGPT, but on a much smaller scale.
is a comprehensive, educational project dedicated to building a Large Language Model (LLM) from the ground up. It serves as the official code repository for the book Build a Large Language Model (From Scratch), guiding developers step-by-step through the process of developing, pretraining, finetuning, and aligning a GPT-like LLM using PyTorch.
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